An improvement on intelligent scoring algorithm of subjective questions based on fuzzy theory

In this paper, I provide an improvement on intelligent scoring algorithm, which rely on match of key words and semantic proximity in fuzzy theory, through analyzing the habits of mind that scoring subjective questions by manually and studying current algorithms. It gives a more efficient method to scoring subjective questions and improves conventional algorithm. The main subject of this paper includes subjective questions (short answer and explain the glossary) and semi-subjective questions (completion).